# Engineering Manager, Applied AI

**Company:** [Mercor](https://hotfix.jobs/companies/mercor)
**Location:** San Francisco, CA, New York, NY
**Role:** Engineering Management
**Salary:** $250k – $400k/yr
**Experience:** 6+ years
**Skills:** Scalable Systems, System Design, Ai Evaluation, Data Quality, Machine Learning, Engineering Leadership, Team Management, Hiring Processes, Roadmapping, Technical Coaching
**Posted:** 2026-04-15

> Leads engineering teams building AI evaluation infrastructure, annotation products, and multimodal systems to improve frontier model quality. Partners with product, research, and AI labs while managing 6-10 engineers, owning technical direction, and scaling high-performing teams.

## Job Description

## What You’ll Work On

### Build and scale teams
- Manage and grow a team of 6–10 engineers
- Coach and develop high-potential engineers
- Establish strong ownership, culture, and execution standards
- Shape the team: define hiring processes, establish engineering practices, and scale a high-performing team from the ground up

### Drive Applied AI systems and outcomes
- Drive insights and methodology behind evaluation systems that benchmark and improve model performance
- Lead development while driving improvements in data quality, operational efficiency, system stability, and scalability
- Scale products that generate high-quality training data and improve human-in-the-loop workflows

### Own technical direction
- Lead system design for complex AI systems
- Stay close to the technical work and guide engineers through ambiguous problems
- Translate high-level AI goals into clear engineering roadmaps and execution plans

### Operate across a broad scope
- Partner with product, research, operations, and external AI labs
- Work across systems, data insights, and custom partnerships to drive model quality

### Shape the organization
- Introduce lightweight processes as the organization scales
- Hire and develop strong engineering talent
- Help define engineering management at Mercor

## What We’re Looking For
- 6–10 years in engineering; 2–3+ years managing teams
- Strong background in building scalable systems
- Ability to lead in ambiguous environments with sound technical judgment
- Proven ability to coach engineers and drive execution
- Strong ownership mindset with pragmatic decision-making

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**Apply:** https://hotfix.jobs/jobs/53827618-0705-4a1e-9e29-a462609723b7
**Canonical:** https://hotfix.jobs/jobs/53827618-0705-4a1e-9e29-a462609723b7